The study explores the influence of contextual factors surrounding production planning and green strategic investment decision‐making practices (GSIDMP) in UK companies. We utilize a mixed‐method approach as a research methodology to study the current trend of production planning and GSIDMP. This study's conceptual model is rooted conspicuously in the resource‐based theory (RBT), natural‐resource‐based view, and dynamic capabilities. We empirically examine the nexus among GSIDMP, technological innovation, dynamic capability, and companies' performance. Our study was based on a sample selected from UK‐listed companies, FTSE ALL‐Share Index for the period (2012–2021). Also, the study utilizes data from the UK Innovation Survey (2018–2020) and corporate disclosure through companies' annual reports as a complementary approach for data collection. Findings of this study explore the interdependencies among company dynamic capability, advanced technological innovation and governance mechanisms, and their mediation influence on the nexus between GSIDMP and companies' performance. This study sheds lights on current business innovation strategies. Findings reveal how current practices of production planning and GSIDM in large UK companies shaped by boardrooms absorptive and adaptive capabilities, knowledge‐generating and knowledge‐collaboration capabilities, technological adoption, and corporate governance mechanisms. This study offers insight regarding boardrooms proactive engagement in exploration and exploitation activities to strengthen ambidexterity through various innovation trajectories associated with green production and GSIDMP towards sustainability. We provide managerial implications for decision‐makers, regulators, investors, scholars, and other stakeholders.

The selection of suitable supply partners is a strategic issue for managers working in humanitarian operations and has received little attention in the literature. In humanitarian operations, complexity characterizes the continuous-aid procurement operations, and the selection criteria can differ from those used in commercial supply chain settings. This paper advances knowledge by introducing a supply partner selection framework for continuous-aid procurement. A proposed multi-criteria decision-making model uses selection criteria attributes verified by the extant literature and by field experts. A fuzzy Analytic Hierarchy Process is then used to compute criterion weights, and a fuzzy Technique for Order Performance by Similarity to Ideal Solution is used to rank supply partner alternatives. Even with elevated levels of subjectivity, these techniques enable humanitarian operation stakeholders to select the best supply partner effectively. An actual case illustrates how the proposed framework efficiently identifies the most suitable continuous-aid supply partner for the prevailing situation.

This study considers how effective South African manufacturing enterprises have used Industry 4.0 tools and applications to achieve sustainability in supply chain operations. Organization Information Processing Theory (OIPT) suggests Industry 4.0 tools should enhance operational capabilities. South African manufacturers were surveyed and 200 responses were received. Partial least squares structural equation modelling (PLS-SEM) was used to test the conceptual model. We provide evidence that using Industry 4.0 tools to improve resource consumption rate and reduce waste and pollution is most likely to enhance sustainable supply chain operations. Both the control orientation and the flexible orientation of the production team enhance their ability to generate positive sustainable outcomes from Industry 4.0 use. The results may not be generalizable to other, less developed nations, which struggle with Industry 4.0 implementation but should generalize to other developing nations. This study has a clear implication that there are viable pathways to sustainable supply chain operations, driven by Industry 4.0 applications, through improving resource consumption and reducing waste and pollution.